A Two-way Approach for Probabilistic Graphical Models Structure Learning and Ontology Enrichment.
Mouna Ben IshakPhilippe LerayNahla Ben AmorPublished in: KEOD (2011)
Keyphrases
- structure learning
- probabilistic graphical models
- graphical models
- parameter learning
- markov networks
- bayesian networks
- markov logic networks
- belief propagation
- probabilistic model
- approximate inference
- random variables
- probabilistic inference
- conditional independence
- conditional random fields
- first order logic
- belief networks
- exact inference
- knowledge representation
- maximum likelihood
- dynamic bayesian networks
- knowledge base
- parameter estimation
- hidden variables
- document classification
- transfer learning
- collaborative filtering
- bayesian inference